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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18287
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    INDEX
    Explanations

    references to rabbits and bunny-related terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the words "rabbit" and "bunny."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omething
    -0.93
    ician
    -0.85
    igmat
    -0.84
    inia
    -0.78
    rylic
    -0.78
    orie
    -0.77
    itutional
    -0.76
    ructure
    -0.75
    xit
    -0.73
    inen
    -0.73
    POSITIVE LOGITS
    MQ
    1.18
     Hole
    0.96
     rabbit
    0.88
    meat
    0.86
     Rabbit
    0.85
     Wilde
    0.82
     Nest
    0.79
     rabbits
    0.76
     Hunt
    0.72
    wald
    0.69
    Activations Density 0.021%

    No Known Activations